Techbar

We are looking for an Azure Architect with strong experience in cloud security, infrastructure design, and enterprise-grade system architecture. The role involves defining and improving cloud structure, ensuring security best practices, reviewing existing components, and guiding the engineering direction of the platform.

Key ResponsibilitiesCloud Architecture:

• Design and refine system architecture on Microsoft Azure
• Structure environments, VNets, Subscriptions, and Resource Groups
• Establish scalable, well-organized infrastructure patterns
• Review current architecture and propose improvements for stability and performance
   

Security & Compliance

• Implement secure-by-default patterns across Azure services
• Enforce network segmentation, private networking, and endpoint hardening
• Apply RBAC least-privilege access models
• Support secure multi-tenant isolation
• Perform cloud security posture analysis (CSPM) and propose remediation steps
• Ensure compliance with best practices (identity, access, encryption, auditing)
   

Technical Guidance

• Work closely with product and engineering stakeholders to refine requirements
• Translate architectural concepts into engineering tasks
• Provide guidance on DevOps, networking, and data flows
• Review diagrams, documentation, and solution proposals
   

Optional (Nice-to-Have)

Not required, but beneficial:

• Experience integrating AI or document-processing pipelines
• Understanding of LLM-based extraction or content processing
• Familiarity with Python-based backend services
• Experience with vector search, embeddings, or data enrichment
• Exposure to tools like Content Understanding or similar services
   

Required SkillsCore Technical Skills (Must-Have):

• Strong expertise in Microsoft Azure architecture
   (Networking, Storage, Compute, Identity, Serverless, Monitoring)
• Solid understanding of cloud security, including:
  • Private Endpoints and network isolation
  • Conditional Access & Entra ID
  • Encryption at rest & in transit
  • Threat modeling & risk assessment
  • Azure Policy & governance
• Experience designing distributed, secure cloud systems
• Understanding of CI/CD, IaC (Terraform/Bicep — plus)
• Ability to review and create architecture diagrams
   

Soft Skills (Critical):

• Strong communication and stakeholder management
• Ability to explain solutions clearly to both technical and non-technical audiences
• Proactive problem-solving and ownership mindset
• Ability to guide discussions and defend architectural decisions diplomatically
   

Nice to Have (Optional):

• Experience with document processing or unstructured data
• Background in AI/ML integrations (not required)
• Experience with secure ingestion pipelines
• Familiarity with GitHub Actions or Azure DevOps
• Knowledge of multi-tenant platform patterns

We are looking for a Data Engineer to join our data team and support the development of scalable, reliable, and high-quality data solutions across the organization. In this role, you will work closely with business stakeholders and technical teams to design and deliver pipelines, models, and architectures that enable advanced analytics, reporting, and operational decision-making.

Key Responsibilities

• Design, build, and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources (operational systems, APIs, files, third-party platforms).
• Partner with business users and subject-matter experts across Finance, Operations, Procurement, Marketing, and other domains to understand business processes and translate them into robust data models.
• Implement and support Data Warehouse and Data Lakehouse architectures that ensure scalability, reliability, and efficient data access.
• Develop transformation logic using SQL, Python, and Spark, ensuring high performance and maintainability.
• Ensure data quality, consistency, and performance through monitoring, documentation, validation, and automation.
• Collaborate with BI, Data Science, and Data Governance teams to support analytics, reporting, machine learning, and data lifecycle initiatives.
• Contribute to the continuous improvement of data engineering practices, including CI/CD, DevOps/DataOps, coding standards, and automation.

Requirements

• 3+ years of experience as a Data Engineer or in a similar data-centric role.
• Hands-on experience with Databricks, Apache Spark, or comparable distributed data processing platforms.
• Strong proficiency in SQL and proven experience building scalable ETL/ELT pipelines.
• Solid programming skills in Python.
• Experience working with relational and non-relational databases.
• Strong analytical thinking, problem-solving abilities, and attention to detail.
• Excellent communication skills with the ability to collaborate with cross-functional and non-technical stakeholders.
• Good understanding of business processes such as Finance, Supply Chain, and Operations, and how data flows across these areas.

We are looking for an experienced Full-Stack Engineer (Node.js + React) to join a staff augmentation team and help build the core web and backend components of a new multi-platform application.

In this role, you will work across both frontend and backend, contribute to API design, and collaborate closely with mobile engineers and the product team. You will also take ownership of task estimation and delivery planning, working directly with the client.

This is a hands-on engineering role for someone who is comfortable building MVPs in a fast-moving environment and scaling them for production.

What You Will Do

• Develop web and backend services for the MVP
• Build and maintain:
  • User profiles and community features
  • Discussion, reactions, and engagement systems
  • Baseline chat functionality
  • Admin tools (user moderation, metrics dashboards)
• Design, implement, and document REST APIs
• Collaborate with mobile engineers to ensure consistent cross-platform functionality
• Integrate external services and third-party APIs
• Implement AI-powered features via the backend
• Ensure backend performance, security, and scalability
• Estimate tasks, plan deliveries, and commit to timelines
• Participate in code reviews, QA processes, and technical discussions
• Work directly with the client to clarify requirements and propose technical solutions

Technical Requirements

Backend (Required)

• 5+ years of strong Node.js engineering experience
• Experience building and maintaining RESTful APIs
• Solid understanding of JWT authentication and authorization
• Hands-on experience with:
  • Horizontal scaling
  • Load balancing
  • Caching (Redis or similar)
  • Queues and message processing (RabbitMQ, SQS, or equivalents)
• Experience designing production-ready backend architectures
• Working knowledge of SQL and/or NoSQL databases
• Experience integrating external services and APIs
• Experience with real-time functionality (WebSockets or similar)

Frontend (Required)

• Strong experience with React.js and TypeScript
• Experience with Redux or other state-management solutions
• REST API integration experience
• Understanding of responsive and adaptive UI design

Soft Skills

• English level B2+ (direct communication with the client)
• Ability to estimate tasks and meet delivery commitments
• Strong ownership mindset and problem-solving skills
• Ability to work independently in a distributed team
• Experience delivering MVPs with evolving or changing requirements

Why This Role

• Direct impact on a new product from MVP stage
• Close collaboration with the client and product team
• Real ownership over architecture and technical decisions
• Work in a distributed, experienced engineering team
• Opportunity to build scalable systems from the ground up

Techbar шукає Data Engineers (Middle—Senior—Lead) для різних міжнародних клієнтів у сферах retail, analytics, financial crime, enterprise platforms та ML-Ops.
Кожен проєкт — окремий клієнт, свій стек і свої вимоги. Ми пропонуємо можливість обрати той напрямок, який найкраще відповідає вашому досвіду, технічному фокусу та очікуванням щодо розвитку.

Проєкт 1: Data Engineer — Retail (US)

Location: Remote, Global
Tech Stack: Snowflake, dbt Cloud, Astronomer / Airflow, Python

Необхідний досвід роботи:
5+ років у Data Engineering
2+ роки досвіду з dbt (critical)
Advanced SQL
Snowflake / BigQuery / Redshift
Airflow (DAGs)
Python
ELT/ETL, Git
Продакшн пайплайни
English: B2+

Буде плюсом: Retail/e-commerce, Great Expectations/Monte Carlo, Airbyte/Fivetran, BI, Terraform, governance.

Обов’язки: Розробка та підтримка dbt-моделей, Airflow DAGs, оптимізація Snowflake, data quality, документування, performance tuning.

Проєкт 2: Data Engineer with Databricks

Location: Remote, Global
Tech Stack: Databricks, Spark, SQL, Python

Необхідний досвід роботи:
3+ років у Data Engineering
Databricks / Spark (production)
Strong SQL
Python
ETL/ELT пайплайни
Relational + NoSQL DBs
Комунікація з бізнесом
Розуміння бізнес-процесів (Finance, Supply Chain, Operations etc.)
English: B2+

Буде плюсом: Delta Lake, Unity Catalog, Airflow / Data Factory, Data Modeling, Governance, Cloud certs.

Обов’язки: ETL/ELT, lakehouse pipelines, data modeling, data quality, робота з BI/DS командами, DataOps.

Проєкт 3: Senior / Lead Data Engineer — Financial Crime / AML

Location: EU Only
Tech Stack: Databricks, Snowflake, PySpark, Python, Airflow, AWS, Terraform, NiFi

Необхідний досвід роботи:
Expert SQL, Databricks, Snowflake
Python + PySpark (advanced)
Hadoop, NiFi, lakehouse architecture
Airflow / Databricks Workflows / Step Functions
AWS (S3, IAM, Glue, Lake Formation, networking)
Terraform / CloudFormation
Governance & lineage (Unity Catalog / Atlas / OpenLineage)
CI/CD, IaC
Менторинг і технічне лідерство
Incident response, observability
Cost optimization
English: B2+

Обов’язки: Проєктування lakehouse, Bronze/Silver/Gold стандарти, ingestion frameworks, orchestration, governance, quality SLAs, CI/CD, security/compliance, code review, mentoring, оптимізація Spark, підтримка інцидентів.

Проєкт 4: Data Engineer — Enterprise

Location: Remote
Tech Stack: Databricks, Spark, SQL, Python

Необхідний досвід роботи:
3+ років у Data Engineering
Databricks / Spark
Strong SQL
Python
ETL/ELT
Бази даних
Комунікація з бізнесом
Розуміння доменів Finance / Supply Chain / Operations
English: B2+

Буде плюсом: Delta Lake, Unity Catalog, Airflow / Data Factory, Data Modeling, Governance, Cloud certs.

Обов’язки: ETL/ELT, lakehouse architectures, data quality, автоматизація, взаємодія з BI/DS/Governance командами.

Проєкт 5: Senior Data Engineer — PySpark / Databricks / MLOps

Location: EU Only
Tech Stack: PySpark, Databricks, Delta Lake, Jenkins, Azure/AWS

Необхідний досвід роботи:
Strong Python + PySpark
Databricks + Delta Lake
CI/CD (Jenkins, Asset Bundles)
Оптимізація пайплайнів, partitioning, cost
MLOps understanding (SARIMA — базово)
Serverless compute
DevOps майндсет
English: B2+

Обов’язки:
Phase I: продакшн SARIMA-пайплайнів, оптимізація performance/cost, Databricks Asset Bundles, CI/CD, cost analysis.
Phase II: MLOps масштабування, pipeline templates, monitoring, orchestrations, compute optimization.

Location: Remote
Client: USA (Texas)
Domain: AI-driven SaaS for Healthcare & Life Sciences
Industry: Healthcare, Pharmaceuticals, Compliance Automation
 

About the project

We are building an AI-driven SaaS platform that automates regulatory compliance and software revisions for highly regulated industries such as healthcare, life sciences, and pharmaceuticals.

The product helps companies stay compliant with industry regulations by combining AI automation, backend services, and modern web interfaces. You will work on real production features with a strong focus on reliability, performance, and clean architecture.
 

Role overview

We are looking for a Full Stack Software Engineer with 5 years of commercial experience to join the team and work across backend and frontend parts of the platform.

You will design and develop scalable web applications, build robust APIs, and create intuitive user interfaces while collaborating closely with product managers, designers, and other engineers.

A strong Python background is essential, especially for building APIs with FastAPI. Solid experience with React and modern JavaScript/TypeScript is also required.
 

Responsibilities

• Design, develop, and maintain web applications using Python, Node.js, React, and TypeScript
• Build and maintain RESTful APIs using FastAPI, ensuring scalability, security, and performance
• Develop responsive and user-friendly interfaces with React
• Collaborate closely with backend and frontend engineers to deliver cohesive solutions
• Implement best practices such as code reviews, automated testing, and CI/CD
• Troubleshoot, debug, and optimize application performance and reliability
• Contribute to architectural decisions and the evolution of the technology stack
• Work with product managers and designers to deliver high-quality features
   

Requirements

• 3–5 years of hands-on commercial experience with Python, Node.js, and React
• Strong experience building APIs with FastAPI (or similar Python frameworks)
• Proficiency in JavaScript / TypeScript and object-oriented programming
• Experience with RESTful API design and third-party service integrations
• Familiarity with Git, npm, and modern development workflows
• Strong problem-solving skills and attention to detail
• Good communication skills and ability to work in a team
   

Nice to have

• Experience with cloud platforms (AWS preferred, Azure or GCP are also fine)
• Experience with databases: PostgreSQL (preferred), MongoDB, or MySQL
• Understanding of automated testing (Playwright, Selenium) and TDD
• Experience with Docker and containerized environments
   

What we offer

• Fully remote collaboration
• Work with a US-based client on a meaningful healthcare-focused product
• Opportunity to work on AI-driven SaaS in a regulated industry
• Stable project with real production impact
• Professional, engineering-driven team and clear technical goals

We are looking for a hands-on Data Scientist to deliver practical AI and GenAI solutions. This is an execution-driven role focused on data quality, model evaluation, and reliable outputs not on BI or data platforms.

You will work directly on building, testing, and delivering AI/ML and GenAI solutions for real client use cases. The role requires strong practical experience and the ability to turn ideas into production-ready implementations.

Responsibilities

• Build and deliver AI / ML proof-of-concepts
• Prepare data, implement models, and write production-ready code
• Apply LLMs in practice, including: prompting, structured outputs, evaluation, retrieval-augmented generation (RAG)
• Work with messy, real-world customer data
• Collaborate closely with client teams and participate in technical workshops

Requirements

• Strong background in Data Science, Machine Learning, or Statistics
• Hands-on experience building ML pipelines in Python or R(e.g. scikit-learn, pandas, numpy)
• Practical GenAI experience with LLMs, LangChain, Chainlit, and RAG
• Comfortable working with unstructured and imperfect data
• English level B2+

We are looking for a Senior Agentic AI Architect to join an early-stage client project focused on designing and building a production-grade agentic AI platform that automates the software development lifecycle-  from specifications and design to coding and testing.

This role is architecture-first, with strong hands-on involvement at the system and agent design level.
We are recruiting on behalf of the client and will share full project details with shortlisted candidates.

Our client is a technology-driven company developing an AI-powered platform that leverages multi-agent systems to automate complex engineering workflows.
The product is at an early stage, with a strong focus on agent engineering, rapid iteration, and real-world production use cases.

 Responsibilities

• Define and own the architecture of an agentic AI engine automating the software development lifecycle
• Design multi-agent architectures and agent squads across different SDLC stages (specs, design, coding, testing)
• Establish agent engineering best practices, including:
  • prompt and context engineering strategies
  • memory design and lifecycle
  • agent tool design (incl. MCP or similar concepts)
  • evaluation strategies (offline & online)
• Lead architectural decisions for scalability, reliability, safety, and performance of agentic workflows
• Design system-level evaluation frameworks and quality metrics for agent performance
• Define API architecture and integration patterns (Python, FastAPI, REST)
• Collaborate with engineers, product stakeholders, and external clients to translate business goals into agentic system designs
• Produce and maintain architecture documentation, diagrams, and design artifacts
• Guide implementation teams and review architectural correctness (hands-on when needed)

Requirements

• Architecture & Agentic Systems
• Proven experience designing production-grade agentic systems, not only implementing LLM-based features
• Strong knowledge of agent engineering concepts: multi-agent orchestration, context optimization, memory, tool usage
• Hands-on experience with LangGraph, LangChain, LangSmith, Pydantic, or similar frameworks
• Experience designing and operating agent evaluation frameworks (Braintrust, Arize, custom evals)
• Experience with prompt, context, and system-level iteration driven by measurable outcomes
• Backend & Integration
• Strong Python background
• Experience designing and implementing APIs using FastAPI

• Solid understanding of REST API design and external integrations

   

Nice to Have

• Experience designing secure and safe agentic systems (guardrails, red teaming, threat modeling)
• Experience with agentic AI-powered developer tools (Cursor, GitHub Copilot, Claude Code, Codex, etc.)

• Early-stage product or platform architecture experience

   

Soft Skills

• Architectural ownership and strategic thinking
• Comfort with ambiguity and rapidly evolving requirements
• Ability to balance high-level design with hands-on technical depth
• Strong communication skills for cross-functional collaboration
• Genuine excitement about agentic AI and AI-native software architectures

• English: Upper-Intermediate / Advanced

   

Engagement Details

• Role: Senior / Architect level
• Project stage: Early-stage AI platform
• Work format: Remote
• Recruitment: On behalf of the client (client details shared at later stages)

We are looking for a Senior DevOps / Cloud Infrastructure Engineer to design, build, and operate AWS infrastructure for an agentic research assistant in the Pharma / Life Sciences domain, with planned expansion into other research areas.

This is a hands-on infrastructure ownership role, covering cloud architecture, Kubernetes operations, CI/CD, and production reliability.

We are recruiting on behalf of the client. Full project details will be shared with shortlisted candidates.

Project Scope

• Design, build, and operate AWS infrastructure for a production-grade agentic research assistant
• Own Infrastructure as Code (Terraform) across multiple environments (dev / stage / prod)
• Build and maintain CI/CD pipelines for infrastructure and application deployments
• Ensure reliability, security, observability, and cost control
• Prepare runbooks, support incident response, and improve operational maturity
• Collaborate closely with backend and data teams (Python / Java, APIs, data products)

Responsibilities

• Design and operate scalable, secure, and reliable AWS infrastructure
• Own and evolve Terraform codebase (modules, environments, state)
• Build CI/CD pipelines using GitHub Actions for infra and app deployments
• Operate and support Kubernetes (EKS) clusters in production
• Implement observability, alerting, and operational best practices
• Participate in incident handling, root cause analysis, and postmortems
• Work closely with engineering teams to support deployment and runtime needs

Must-Have Requirements

AWS (Production Experience)

Hands-on experience with:

• EKS: cluster setup and operations, node groups, upgrades, autoscaling, ingress, IAM/OIDC
• ECR: image publishing, lifecycle policies, CI integration
• VPC: subnets, routing, NAT / IGW, security groups, NACLs, endpoints, peering (as needed)
• RDS (PostgreSQL): provisioning, HA, backups & restore, basic tuning, monitoring
• Neptune: operational understanding (networking, access control, backups, monitoring)
• EC2: supporting workloads or legacy components when required
• IAM: least-privilege access models, roles & policies, secure access patterns

Infrastructure as Code (Terraform)

Strong hands-on experience with:

• Terraform module design
• State management and remote backends
• Workspaces / environment separation
• Plan / apply workflows
• Secrets and configuration management patterns
• Change management and safe rollouts

Kubernetes & Packaging

• Strong Kubernetes operations experience
• Helm for packaging and deployments (charts, values management, release lifecycle)

CI/CD

Practical experience with GitHub Actions:

• Build / test / deploy pipelines
• Environment promotion and approvals
• Secrets management
• Infrastructure pipelines (terraform fmt / validate / plan / apply)

Operations & Quality

• Observability fundamentals: logging, metrics, tracing, alerting
• SLO / SLA thinking
• Incident handling, postmortems, and runbooks
• Security best practices: secure networking, secrets handling, access control, auditability

Nice-to-Have (Strong Plus)

• Experience with event-driven or distributed systems
• Familiarity with Python (enough to support infra tooling and collaborate on deployments)
• Experience supporting Java services in containerized / Kubernetes environments
• Strong AWS cost optimization skills (rightsizing, autoscaling, storage lifecycle)

Engagement Details

• Level: Senior
• Domain: Pharma / Life Sciences (research-focused product)
• Work format: Remote
• Recruitment: On behalf of the client (details shared later)

We are looking for a Video Processing Engineer to work on low-level video processing with a strong focus on HDR workflows.

The role involves manipulating video streams, applying metadata, and working closely with codecs and operating system–level components in Linux-based media systems.

Responsibilities

• Implement HDR tone-mapping, metadata handling, and color space conversions
• Develop and customize FFmpeg filters and processing workflows
• Implement C / C++ components for HDR video processing
• Work with HDR standards such as HDR10, HLG, and Dolby Vision
• Optimize performance across CPU / GPU, latency, and throughput
• Debug color accuracy and video quality issues

• Integrate video processing solutions into existing Linux-based media systems

   

Requirements

• Strong C / C++ programming experience
• Practical, hands-on experience with FFmpeg
• Solid understanding of video fundamentals:
  • YUV formats
  • Bit depth
  • Color spaces
• Linux development experience

• Experience with GPU acceleration is a plus

   

Additional Information

• Role focuses on low-level video and HDR processing
• No UI or application-level development
• Emphasis on performance, correctness, and video quality

We are looking for a Senior Backend / Media Platform Engineer to join a long-term project focused on the expansion and modernization of a Media Asset Management (MAM) platform in the media and entertainment domain.

The role is backend-heavy and hands-on. You will work on migrating a legacy monolithic system to a distributed, containerized architecture, contributing to architectural decisions and long-term platform evolution rather than short-term feature delivery.

You will collaborate closely with product managers, technical leads, and distributed engineering teams.

Responsibilities

• Design and develop backend services for a Media Asset Management platform
• Participate in migrating a legacy monolith to a distributed, containerized system
• Work with media processing pipelines, including transcoding and clipping
• Contribute to architectural decisions and system modernization initiatives
• Build and maintain asynchronous, message-driven workflows
• Collaborate with frontend and integration teams
• Support long-term platform scalability, reliability, and maintainability

Technical Stack

• C# / .NET – backend services
• PostgreSQL / SQL Server – relational databases, migrations
• FFmpeg – media transcoding, clipping, processing
• Docker – containerization
• Kubernetes / Rancher – orchestration and deployment
• RabbitMQ – asynchronous messaging
• TypeScript + React – frontend (integration context)
• Express.js – backend integrations
• ELK Stack – logging, search, observability
• Git / GitHub – version control and collaboration

Required Skills & Experience

• 5+ years of experience as a Backend Engineer
• Strong hands-on experience with C# / .NET
• Solid understanding of relational databases and SQL
• Experience with PostgreSQL or SQL Server, including migrations or schema redesign
• Hands-on experience with media processing pipelines (FFmpeg or similar)
• Understanding of video transcoding, clipping, and media workflows
• Experience with Docker and containerized applications
• Familiarity with Kubernetes-based environments (Rancher or similar)
• Experience with message brokers (RabbitMQ or equivalents)
• Understanding of distributed systems and asynchronous processing
• Experience working with legacy codebases and system modernization

• Confident English (Upper-Intermediate / B2 or higher)

   

Nice-to-Have Skills

• Background in media, streaming, or entertainment platforms
• Experience with low-level video frame or image processing
• Familiarity with the ELK stack (logging, monitoring, observability)
• Experience with Node.js / Express.js for integrations or auxiliary services
• Experience with CI/CD pipelines and automated deployments
• Experience working in staff augmentation or hybrid team models
• Exposure to architectural refactoring or system decomposition
• Experience with Linux-based environments

• Experience supporting on-prem and cloud (AWS) deployments

   

Additional Information

• Role focus: backend engineering & platform modernization
• Domain: Media & Entertainment
• Project type: Long-term
• Collaboration with distributed teams

We are looking for a QA Lead to define and execute the quality strategy for an agentic AI engine that automates the software development lifecycle — from specifications and design to code and testing.

This role focuses on ensuring the reliability, correctness, and safety of multi-agent workflows operating in environments where requirements cannot always be fully predefined.

The position is hands-on, with strong emphasis on automation, evaluation pipelines, and quality ownership.

Who We Are Looking For:

• Strong understanding of the enterprise software development lifecycle (SDLC)
• Ability to work effectively without detailed specifications, especially in early project phases
• Proactive mindset and strong synchronous communication
• Solid background in test automation (Playwright / Selenium / Cypress)

• Experience contributing to or defining test strategies

   

Responsibilities

• Define and own the overall QA strategy, quality standards, and quality gates for the platform
• Build and maintain automated evaluation pipelines covering:
  • functional testing
  • non-functional testing
  • safety and security testing
  • performance validation
• Perform deep validation of outputs generated by agent squads across the SDLC (specs, designs, code, tests)
• Develop and maintain automated test suites and regression systems for:
  • multi-agent workflows
  • REST APIs
• Partner with architects, engineers, and product teams to define:
  • testability requirements
  • acceptance criteria
  • failure modes
• Monitor quality metrics and provide insights, risks, and improvement recommendations

• Support rapid iteration cycles while ensuring agents meet expected accuracy, consistency, and reliability

   

Technical Requirements

• Experience planning, validating, and testing systems where business specifications are not fully predefined
  (e.g. rule engines, decision automation systems)
• Strong skills in building automated tests, test harnesses, and evaluation scripts
• Experience testing REST APIs and integrating QA automation into CI/CD pipelines
• Good automation background with Playwright, Selenium, or Cypress
• Familiarity with agentic frameworks (LangGraph, LangChain, Pydantic) is a plus
• Understanding of AI safety and security testing, including:
  • prompt-injection testing
  • red teaming (considered a plus)

Soft Skills (Nice to Have)

• Strong ownership and adaptability
• Ability to work in fast-paced, iterative environments
• Effective communication and cross-functional collaboration
• Interest in early-stage product development and AI-driven software engineering
• English: Upper-Intermediate / Advanced

Additional Information

• Role focus: QA strategy, automation, and evaluation
• Product type: Agentic AI platform

• Work format: Remote

   

We are looking for a Senior Agentic AI Engineer who doesn’t just experiment with LLMs, but designs, builds, evaluates, and ships production-grade agentic systems.

This role is about owning the design and implementation of an Agentic AI engine that automates the software development lifecycle end to end: from requirements and design to coding, testing, and artifact quality.

This is not a “prompt tinkering” position. This is systems engineering, at scale, with real constraints and real users.

Your core responsibility is the hands-on design and implementation of a production-ready agentic AI engine that:

• Automates key stages of the SDLC
• Uses multi-agent architectures
• Is measurable, debuggable, and scalable
• Performs reliably in real-world scenarios, not just demos

Technical Requirements

We expect strong hands-on experience, not theoretical familiarity:

• Hands-on experience designing and developing agentic systems using LangGraph, LangSmith, LangChain, Pydantic, Braintrust.dev, Arize, OpenRouter, or similar frameworks
• Proven experience building production-grade agentic systems, including:
  • Agent engineering
  • Prompt engineering
  • Context engineering and context usage optimization
  • Designing and building offline and online evals
  • Designing and implementing agent tools (including MCP)
  • Memory engineering
• Experience rapidly iterating on agentic workflows:
  • Formulating hypotheses
  • Adjusting evals
  • Tuning system prompts
  • Building specialized agent tools to hit defined performance targets
• Experience designing REST APIs and integrating with external APIs
• Strong proficiency in Python and FastAPI
• Hands-on experience with Agentic AI-powered coding tools, such as:
  • GitHub Copilot, Cursor, Windsurf, Cline, RooCode, Claude Code, OpenAI Codex
  • Experience customizing agentic workflows, rules, and prompts is a strong plus
• Experience or strong understanding of:
  • Secure and safe agentic systems
  • Guardrails
  • LLM / agentic threat modeling
  • Hardening and red teaming

Responsibilities

• Design and implement a state-of-the-art agentic AI engine that automates the software development lifecycle
• Actively participate in defining and analyzing requirements for the agentic engine and the surrounding ecosystem
• Design and implement multi-agent squads across different stages and dimensions of the SDLC
• Apply best industry practices in agent engineering, including:
  • Task breakdown and execution
  • RAG
  • Memory management
  • Process and artifact quality evaluation
• Develop and maintain:
  • Architecture vision
  • Agentic architecture
  • Design and technical documentation
• Integrate the agentic AI engine with other systems and platform components
• Communicate clearly and effectively with stakeholders and external clients

You will be building core infrastructure, not features on the edge.

This role is for someone who wants to define how agentic systems are built, evaluated, and operated, and who understands that reliability, observability, and iteration speed matter as much as raw model capability.

In short:
you’ll be building agents that actually work, not just look impressive in a demo.